{"id":10460,"date":"2024-03-04T10:15:23","date_gmt":"2024-03-04T10:15:23","guid":{"rendered":"https:\/\/dailyai.com\/?p=10460"},"modified":"2024-03-04T10:15:23","modified_gmt":"2024-03-04T10:15:23","slug":"ai-smartphone-app-can-detect-depression-from-facial-cues","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/03\/ai-smartphone-app-can-detect-depression-from-facial-cues\/","title":{"rendered":"AI-app for smarttelefoner kan oppdage depresjon ut fra ansiktsuttrykk"},"content":{"rendered":"

Forskere fra Dartmouth College har utviklet MoodCapture, en smarttelefonapp som bruker kunstig intelligens til \u00e5 analysere ansiktstrekk for tidlig oppdagelse av depresjon.<\/strong><\/p>\n

Stigmaet forbundet med psykisk helse<\/a> er en viktig grunn til at folk tar mot til seg, selv n\u00e5r de f\u00f8ler seg nedfor. Det er ogs\u00e5 grunnen til at vi anstrenger oss mer for \u00e5 smile n\u00e5r vi snakker med folk eller tar en selfie som vi skal legge ut p\u00e5 sosiale medier.<\/p>\n

N\u00e5r vi ser ned for \u00e5 bruke telefonen, er vi for det meste ikke klar over at det er et kamera som ser tilbake p\u00e5 oss. MoodCapture bruker smarttelefonens frontkamera til \u00e5 fange opp autentiske, ubeskyttede ansiktsuttrykk n\u00e5r en bruker l\u00e5ser opp telefonen. Deretter bruker MoodCapture en AI-algoritme til \u00e5 kontinuerlig overv\u00e5ke tidlige tegn p\u00e5 depresjon.<\/p>\n

Forskerne trente opp algoritmen sin ved hjelp av 125 000 bilder fra 177 deltakere med diagnosen alvorlig depressiv lidelse.<\/p>\n

Bildene ble tatt i l\u00f8pet av 90 dager mens deltakerne brukte en app p\u00e5 telefonen til \u00e5 svare p\u00e5 et kortfattet sp\u00f8rreskjema om pasienthelse (PHQ-8) tre ganger om dagen.<\/p>\n

N\u00e5r deltakeren svarte p\u00e5 sp\u00f8rsm\u00e5let \"Jeg har f\u00f8lt meg nedtrykt, deprimert eller h\u00e5pl\u00f8s\", tok appen et bilde av personens ansikt. Pasientene samtykket til \u00e5 bli tatt bilde av, men visste ikke n\u00f8yaktig n\u00e5r det skjedde.<\/p>\n

I tillegg til ansiktstrekkene ble AI-modellen ogs\u00e5 trent p\u00e5 telefonens vinkel, dominerende farge, lysforhold, fotoplassering og bakgrunnselementer i bildene.<\/p>\n

Ved hjelp av maskinl\u00e6ring og dyp l\u00e6ring skapte forskerne en modell som l\u00e6rte hvilke nyanserte ansiktsuttrykk og kontekstuelle bakgrunnselementer som korrelerte med depresjon.<\/p>\n

\"\"
AI-modellen som driver MoodCapture, ble trent opp ved hjelp av bilder av brukerens ansikt og bakgrunnselementer sammen med maskinl\u00e6ring og dyp l\u00e6ring for \u00e5 bestemme depresjonsniv\u00e5et. Kilde: arXiv<\/a><\/figcaption><\/figure>\n

Prototypen MoodCapture-appen kan p\u00e5 en p\u00e5litelig m\u00e5te oppdage begynnende depresjon allerede f\u00f8r brukeren vet at han eller hun er i faresonen.<\/p>\n

Millioner av mennesker lider av depresjon verden over, og alvorlige tilfeller st\u00e5r for 800 000 selvmord hvert \u00e5r. Tidlig oppdagelse av depresjon kan f\u00f8re til at flere f\u00e5r tilgang til riktig behandling i tide.<\/p>\n

Appens funksjonalitet er imponerende, men forskerne p\u00e5peker i avisen deres<\/a> at apper som MoodCapture, som overv\u00e5ker psykisk helse, kommer med en rekke vanskelige etiske problemstillinger.<\/p>\n

Hvis telefonen min merket at jeg f\u00f8lte meg nedfor, kunne det v\u00e6re fint om en AI-assistent kunne gi meg en peptalk eller anbefale et helsealternativ. Men den informasjonen vil jeg holde privat.<\/p>\n

Det er ikke usannsynlig at man kan bli utsatt for stemningsrelatert reklame eller Big Brother-overv\u00e5kning av mental helse fra myndighetenes side hvis appens brukerdata blir eksponert. Etter hvert som AI p\u00e5 enheten blir mer oppn\u00e5elig, vil disse personvernproblemene bli enklere \u00e5 h\u00e5ndtere.<\/p>\n

Forbedrede kameraer og integrert kunstig intelligens kan snart gj\u00f8re det mulig for telefonene v\u00e5re \u00e5 vite om vi har en god dag eller ikke, selv om vennene v\u00e5re ikke alltid kan se det.<\/p>","protected":false},"excerpt":{"rendered":"

Forskere fra Dartmouth College har utviklet MoodCapture, en smarttelefonapp som bruker kunstig intelligens til \u00e5 analysere ansiktstrekk for tidlig oppdagelse av depresjon. Stigmaet knyttet til psykisk helse er en viktig grunn til at folk tar mot til seg, selv n\u00e5r de f\u00f8ler seg nedfor. Det er ogs\u00e5 grunnen til at vi anstrenger oss mer for \u00e5 smile n\u00e5r vi snakker med folk eller tar en selfie som vi skal legge ut p\u00e5 sosiale medier. N\u00e5r vi ser ned for \u00e5 bruke telefonen, er vi for det meste ikke klar over at det er et kamera som ser tilbake p\u00e5 oss. MoodCapture bruker smarttelefonens frontkamera til \u00e5 regelmessig fange<\/p>","protected":false},"author":6,"featured_media":10488,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[150,166,101],"class_list":["post-10460","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-benefits","tag-computer-vision","tag-medtech"],"yoast_head":"\nAI smartphone app can detect depression from facial cues | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nb\/2024\/03\/ai-smartphone-app-can-detect-depression-from-facial-cues\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI smartphone app can detect depression from facial cues | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from Dartmouth College developed MoodCapture, a smartphone app that uses AI to analyze facial features for early detection of depression. 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